Fred Boehm

Fred Boehm is an Assistant Professor of Statistics in the Department of Mathematics and Statistics at South Dakota State University. His research focuses on statistical genetics, biostatistics, and computational biology, with applications to infectious disease, rare disorders, and social media analysis. He is affiliated with the Chicoine Architecture, Math & Engineering Building and contributes to interdisciplinary projects involving genetic epidemiology and data science.

Boehm’s work spans methodologies for analyzing multiparental populations, Mendelian randomization, and genetic pleiotropy. His recent studies explore host-pathogen interactions in tuberculosis models and the genetic determinants of gut microbiota. He has also applied statistical techniques to social media data, examining political communication and public discourse dynamics.

His academic contributions include software tools for QTL analysis and collaborative efforts to improve drug sensitivity prediction algorithms. While no formal awards are listed, his publications highlight innovative approaches at the intersection of statistics and life sciences.

Boehm’s advising and grant activities are not detailed in the provided texts, but his research frequently involves collaborations across disciplines. He is based in Brookings, South Dakota, and actively engages with both quantitative and social science methodologies.